Are you an experienced business development professional, with a successful track record of developing relationships between researchers and commerce?
Can you work collaboratively with colleagues to create a culture of innovation, enterprise and entrepreneurship?
Are you motivated by the opportunity to contribute towards our strategy of maximising the positive impacts of food on world-wide human health, by exploiting knowledge assets?
POSITION: Research Scientist for Translational Biology Group
REPORTS TO: Principal Scientist, Translational Biology
JOB PURPOSE: Translational biology- carry out cellular immunology experiments and immunoassays
KEY RESPONSIBILITIES:
The Translational Biology group is responsible for carrying out studies to support preclinical and clinical development of lead compounds. The candidate will be part of a team covering all aspects of Translational biology, and specifically would be involved in the following:
Bioinformatician/Data Scientist
(Principal Scientist/Senior Scientist)
Location Cambridge UK
Contract Permanent and full time
Start date September 2019 (flexible)
Closing date: Midnight 27th August
Job Purpose
To develop new features and enhancements to the legacy Perl components of the Congenica product.
Main Responsibilities
• Design, code and unit test new product features and enhancements.
• Fix bugs raised by customers and internal teams such as system test.
• Set a good standard of development procedures for other developers to follow.
• Review code written by more junior members of the team.
• Develop subject matter expertise in one or more areas of the system.
Job Purpose
Congenica is building on its experience in the rare disease and inherited cancer field to build (or acquire) a clinical decision support platform designed for the somatic cancer analysis market. The intention is to support the customer need to interprate NGS data derived from primary tumours to identify DNA variants that inform therapeutic drug choices. This is a new market for Congenica and there is a need for an experienced, knowledgeable and confident Product Manager to oversee the Company’s entry into this important strategic market.
Open Targets is a novel public-private partnership to establish transformational experimental and informatics approaches to the problem of identification and prioritisation of potential drug targets in disease thereby providing better targets at the start of the drug development. A fundamental principle of the partnership is that the target validation space is pre-competitive and that all the data generated will be made available in a timely manner in the public domain.
The EMBL-EBI Sequence Families Team, led by Rob Finn, is responsible for a number of world-leading protein family annotation resources, including Pfam and InterPro. Pfam is a database of protein families, represented by multiple sequence alignments and profile hidden Markov models (HMMs). InterPro is a resource that classifies protein sequences into families, and predicts the presence of functionally important domains and sites. It does this by incorporating protein signatures from 13 different specialist international member databases, including Pfam.
The UniProt Knowledgebase acts as a central hub of biological and biomedical knowledge by providing a unified view of protein sequences linked to functional information. Reviewed records are expertly curated with information extracted from the literature and curator-evaluated sequence analysis. The Gene Ontology annotation database contains more structured data, describing the function of the protein in a way that increases computational accessibility.
About Healx
Healx’s goal is to use its AI platform to accelerate the discovery of 100 rare disease treatments by 2025. Healx works closely with patient advocacy groups and charities to initiate drug discovery programmes and progress treatments through to clinical development and commercialisation.